Sex-specific response of intramuscular fat to diet-induced obesity in rats
Bibliographic record
Abstract
Metabolic abnormalities associated with excess adiposity in obesity contribute to many noncommunicable diseases, including sarcopenic obesity. Sarcopenic obesity is the loss of muscle mass coupled with excess fat mass and fatty infiltrations in muscle tissue called myosteatosis. A diet-induced obesity model was developed to study fat infiltration in muscle tissue. Only male rats have been considered in these investigations neglecting that female rats might respond differently. The objective of this study was to determine if the response to diet-induced obesity can be generalized to both sexes, or whether sex affects the response to the HFS diet, as indicated by markers of metabolic syndrome and changed in muscle integrity. Using a combination of histological staining techniques, quantitative proteomics, and measures of metabolic syndrome and inflammation, it was determined that the diet-induced obesity model in female Sprague-Dawley rats is a viable model with pronounced effects on the musculoskeletal system. We found sex-dependent and muscle-specific differences in intramuscular fat infiltration between male and female rats receiving the obesogenic diet. Including females in research may allow for identifying distinct causes of the mechanistic relationship between diet, obesity, metabolic syndrome, and the sex-dependent differential effects of these factors on adaptation and degeneration of musculoskeletal tissues.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".